RealNetworks (United States)

output

20132025

most citedInterpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networks

30 citations

researchers with a paper here

Matthieu Latapy3 · h 30
A. Imran2 · h 32
Armel Jacques Nzekon Nzeko'o2 · h 3
Lionel Tabourier2 · h 10
M. Tchuenté2 · h 17
A. Abu-Dayya1 · h 28
Amit Kachroo1 · h 7
Andrew Rabinovich1 · h 2
Chang Liu1 · h 2
Dingxian Wang1 · h 3
Esteban Bautista1 · h 4
F. Peruani1 · h 33

collaborating institutions

Centre d'Excellence en Technologies de l'Information et de la CommunicationBE2 papers
Unité de Modélisation Mathématique et Informatique des Systèmes ComplexesFR2 papers
University of OklahomaUS2 papers
Beihang UniversityCN1 paper
Centre d'études et de recherche en informatique et communicationsFR1 paper
Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR1 paper
Ericsson (United States)US1 paper
Institut d'Etudes Politiques de ParisFR1 paper
Max Planck Institute for the Physics of Complex SystemsDE1 paper
National University of SingaporeSG1 paper
Oklahoma State UniversityUS1 paper
Qatar UniversityQA1 paper

Showing physics.soc-phShow all

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physics.soc-ph2013★ 28 cited

Directedness of information flow in mobile phone communication networks

Fernando Peruani, Lionel Tabourier

Without having direct access to the information that is being exchanged, traces of information flow can be obtained by looking at temporal sequences of user interactions. These seq…